AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. Apache Flink is a popular framework and engine for processing data streams. 0 … 1248 Nov-02 12:14:31 32.45

ML 98

ML ML Apache Kafka SQL 98

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Machine Learning Integration : Built-in ML capabilities streamline model development and deployment.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

AWS Machine Learning Blog

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.

AWS 98

AWS ML ML Data Quality 98

IBM Journey to AI blog

NOVEMBER 29, 2023

Aggregates as predictive insights : Aggregates, which consolidate data from various sources across your business environment, can serve as valuable predictors for machine learning (ML) algorithms. Event processing helps continuously update and refine our understanding of ongoing business scenarios.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

AWS Machine Learning Blog

JANUARY 6, 2023

The rules in this engine were predefined and written in SQL, which aside from posing a challenge to manage, also struggled to cope with the proliferation of data from TR’s various integrated data source. ML training pipeline. The following sections explain the components involved in the solution.

AWS 98

AWS Data Warehouse ML ML 98

ODSC - Open Data Science

JULY 22, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes.

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

DagsHub

APRIL 7, 2024

These pipelines cover the entire lifecycle of an ML project, from data ingestion and preprocessing, to model training, evaluation, and deployment. Adopted from [link] In this article, we will first briefly explain what ML workflows and pipelines are. around the world to streamline their data and ML pipelines.

Machine Learning 59

Machine Learning Machine Learning ML ML 59